Battery Count Control for EV Charging and Degradation Cost Balance
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Solution Overview
Problem
Existing methods for determining the number of batteries for electric vehicles do not adequately consider degradation costs, leading to increased total costs due to accelerated battery degradation when only charging costs are considered.
Innovation Solution
An information processing method that calculates degradation and charging costs for varying numbers of batteries, determining the optimal number based on both factors to minimize total cost, including a system with a terminal device, server, and mobile body components to manage battery packs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Duration of action of moving object
If the number of batteries is increased to extend traveling distance, then the traveling distance is improved, but the weight increases which lowers traveling efficiency
Solution Approach 1:
The battery system is designed to be dynamic and adjustable, allowing the number of batteries to be changed based on travel requirements. The control device dynamically determines the optimal number of batteries by calculating degradation costs and charging costs, enabling the system to adapt between extending traveling distance and maintaining traveling efficiency depending on the situation.
2Reliability
If the number of batteries is increased to reduce degradation cost, then the degradation cost is improved, but the charging cost increases due to heavier weight
Solution Approach 1:
The system changes the parameter of battery number to optimize the balance between degradation cost and charging cost. The control device calculates both degradation cost (which decreases with more batteries) and charging cost (which increases with more batteries due to weight), then determines the optimal battery number where the total cost is minimized, dynamically adjusting this parameter based on travel distance and other conditions.
3Use of energy by moving object
If the number of batteries is decreased to reduce charging cost, then the charging cost is improved, but the degradation cost increases due to higher usage intensity
Solution Approach 1:
The system adjusts the battery number parameter to find the optimal trade-off point. When charging cost is the priority, fewer batteries are used, but the system compensates by managing the increased degradation through the control device's calculations. The parameter of battery number is changed based on the specific travel scenario to balance both costs effectively.
Data Source
AI summary
An information processing method includes: acquiring a weight of an electric mobile body; acquiring an amount of power consumption of the mobile body for each of numbers of one or more batteries mounted on the mobile body, the amount of power consumption being calculated based on the number of batteries; calculating a degradation cost of batteries for each of the numbers of the one or more batteries, the degradation cost being calculated based on the amount of power consumption and on the number of batteries; calculating a charging cost for each of the numbers of the one or more batteries, the charging cost being calculated based on the weight; and determining a number of batteries to be actually mounted on the mobile body, in accordance with the degradation cost and the charging cost, and outputting the number of batteries to be mounted.